There are over 37 trillion cells in the human body, each taking up different forms and functions. The behaviour of these cells can be described by canonical characteristics, but their functions can also dynamically change based on their environmental context, leading to cells with diverse states. Understanding changes in cell state related to their spatial context in the tissue microenvironment is key to understanding how spatial interactions between cells can contributes to human disease. State-of-the-art technologies such as PhenoCycler, IMC, CosMx, Xenium, MERFISH and many others have made it possible to deeply phenotype characteristics of cells in their native environment. This has created the exciting opportunity to identify spatially related changes in cell state in a high-thoughput manner.
Statial is a Bioconductor package which contains a suite of complementary approaches for identifying changes in cell state and how these changes are associated with cell type localisation. This workshop will introduce new functionality in the Statial package which can
It is expected that students will have:
While it will be possible for participantsto run code as we go through the demonstration, given time constraints, I would encourage them to focus their attention into critiquing when and why modelling the spatial relationships between cells in these ways is appropriate. Questions are welcome both within the workshop and if students choose to workthrough the workshop independently after the demonstration.
While this workshop will focus on the functionality of Statial, it will tangentially touch on other Bioconductor packages we have developed for these technologies such as spicyR, lisaClust and ClassifyR.
The expected timing of the workshop:
Activity | Time |
---|---|
Introduction | 5m |
Discrete cell states | 10m |
Continuous cell states | 10m |
Tissue microenvironments | 5m |
Classification | 5m |